Data Scientist

Midvale, UT - USA

Monthly Salary: Not Disclosed

Posted on: 20-09-2025

Vacancies: 1 Vacancy

Job Summary

Zions Bancorporations Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation we have been providing our community clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future today.

Zions Bancorporation is currently looking for an experiencedData Scientistto join our Enterprise Data Science team. This role focuses on delivering insight from data that is actionable and will drive revenue growth cost reduction and meet new regulatory requirements. The team works on strategic projects with tactical components that aim to drive all business decisions to be data driven.

TheDataScientistwill be responsible for end-to-end analytic projects including:

The understanding of business anddataneeds
Discovering cleaning and transformingdataas needed
Designing and building analytical models
Performing statistical analyses
Providing diagnostic descriptive prescriptive and predictive analytics
Design develop and maintain production grade machine learning and AI applications

Qualifications:

Expertise in Fraud Detection and Risk Modeling - Proven experience developing and deploying machine learning models for fraud detection anomaly detection or financial risk assessment in a production environment.
Strong Machine Learning and Statistical Modeling Skills - Proficiency in supervised and unsupervised learning techniques including logistic regression decision trees ensemble methods clustering and deep learning.
Experience with Recommendation Systems - Hands-on experience designing and implementing collaborative filtering content-based or hybrid recommendation systems.
Familiarity with Generative AI Techniques - Working knowledge of generative models (e.g. GANs VAEs LLMs) and their application in financial services customer engagement or internal automation.
Proficiency in Programming and Data Tools - Strong coding skills in Python or R with experience using libraries such as scikit-learn TensorFlow/PyTorch pandas and SQL for data manipulation and model development.
Cloud and MLOps Experience - Experience deploying models using cloud platforms (e.g. Azure AWS GCP) and familiarity with CI/CD pipelines model monitoring and version control.
Excellent Communication and Collaboration Skills - Ability to translate complex analytical insights into actionable business recommendations and collaborate effectively with cross-functional teams including fraud IT and product.
Education & Experience: Bachelors Degree in a Quantitative field such as Data Science Computer Science Statistics Mathematics or a related field and 6 years experience. A Masters degree is preferred.

Location:

Zions Technology Center - 7860 South Bingham Junction Blvd Midvale UT 84047.

The Zions Technology Center is a 400000-square-foot technology campus in Midvale Utah. Located on the former Sharon Steel Mill superfund site the sustainably built campus will be the companys primary technology and operations center. This modern and environmentally friendly technology center will enable Zions to continue to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:

Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
At least 75% of the building is powered by on-site renewable solar energy.
Access to outdoor recreation parks trails shareable bikes and locker rooms.
Large modern cafe with a healthy and diverse menu.
Healthy indoor environment with ample natural light and fresh air.
LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:

Medical Dental and Vision Insurance - START DAY ONE!
Life and Disability Insurance Paid Parental Leave and Adoption Assistance
Health Savings (HSA) Flexible Spending (FSA) and dependent care accounts
Paid Training Paid Time Off (PTO) and 11 Paid Federal Holidays
401(k) plan with company match Profit Sharing competitive compensation in line with work experience
Mental health benefits including coaching and therapy sessions
Tuition Reimbursement for qualifying employees
Employee Ambassador preferred banking products

Apply now if you have a passion for impactful outcomes enjoy working collaboratively with co-workers and want to make a difference for the clients and communities we serve.

TheDataScientistwill be responsible for end-to-end analytic projects including:

The understanding of business anddataneeds
Discovering cleaning and transformingdataas needed
Designing and building analytical models
Performing statistical analyses
Providing diagnostic descriptive prescriptive and predictive analytics
Design develop and maintain production grade machine learning and AI applications

Qualifications:

Expertise in Fraud Detection and Risk Modeling - Proven experience developing and deploying machine learning models for fraud detection anomaly detection or financial risk assessment in a production environment.
Strong Machine Learning and Statistical Modeling Skills - Proficiency in supervised and unsupervised learning techniques including logistic regression decision trees ensemble methods clustering and deep learning.
Experience with Recommendation Systems - Hands-on experience designing and implementing collaborative filtering content-based or hybrid recommendation systems.
Familiarity with Generative AI Techniques - Working knowledge of generative models (e.g. GANs VAEs LLMs) and their application in financial services customer engagement or internal automation.
Proficiency in Programming and Data Tools - Strong coding skills in Python or R with experience using libraries such as scikit-learn TensorFlow/PyTorch pandas and SQL for data manipulation and model development.
Cloud and MLOps Experience - Experience deploying models using cloud platforms (e.g. Azure AWS GCP) and familiarity with CI/CD pipelines model monitoring and version control.
Excellent Communication and Collaboration Skills - Ability to translate complex analytical insights into actionable business recommendations and collaborate effectively with cross-functional teams including fraud IT and product.
Education & Experience: Bachelors Degree in a Quantitative field such as Data Science Computer Science Statistics Mathematics or a related field and 6 years experience. A Masters degree is preferred.

Location:

Zions Technology Center - 7860 South Bingham Junction Blvd Midvale UT 84047.

Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
At least 75% of the building is powered by on-site renewable solar energy.
Access to outdoor recreation parks trails shareable bikes and locker rooms.
Large modern cafe with a healthy and diverse menu.
Healthy indoor environment with ample natural light and fresh air.
LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:

Medical Dental and Vision Insurance - START DAY ONE!
Life and Disability Insurance Paid Parental Leave and Adoption Assistance
Health Savings (HSA) Flexible Spending (FSA) and dependent care accounts
Paid Training Paid Time Off (PTO) and 11 Paid Federal Holidays
401(k) plan with company match Profit Sharing competitive compensation in line with work experience
Mental health benefits including coaching and therapy sessions
Tuition Reimbursement for qualifying employees
Employee Ambassador preferred banking products

Apply now if you have a passion for impactful outcomes enjoy working collaboratively with co-workers and want to make a difference for the clients and communities we serve.

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

Apply Now

About Company

Zions Bancorporation

Zions Bancorporation recognizes that its success comes from the dedication, experience, and talents of its diverse employee base. As we usher in the.....

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